Master Data Management (MDM) Lead

Tata Consultancy Services; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Tata Consultancy Services is seeking an experienced MDM Architect in Hyderabad to design and govern master data management solutions across multi-domain, high-volume enterprise environments.

You will model data, configure platforms such as Informatica MDM SaaS, SAP MDG, and Stibo STEP, and oversee data quality, governance, security, and integration with CRM/ERP; lead data ingestion and real-time APIs for scalable data ecosystems.

Qualifications

• Architect end-to-end master data management solutions for multi-domain, high-volume environments.
• Design and configure MDM platforms to support business partner, product, vendor, and material data.
• Lead data ingestion, data quality rules, match-and-merge and survivorship policies.
• Create technical design specifications, data flows, APIs, and system architecture.

Responsibilities

• Architect and configure hierarchical data models and network relationships.
• Perform capacity planning, performance tuning, and system monitoring.
• Design and enforce data security, access controls, and compliance standards.
• Maintain metadata management, data dictionary, and data lineage.

Job description

• Architect end-to-end master data management solutions, including data modeling, ingestion, and stewardship, for multi-domain, high-volume enterprise environments.
• Design and configure MDM platforms (e.g., Informatica MDM SaaS, SAP MDG, Stibo STEP) to support business partner, product, vendor, and material data.
• Develop data governance frameworks, data quality rules, match-and-merge algorithms, and survivorship policies.
• Create and document technical design specifications, including data flows, API specifications, and system architecture.
• Lead the integration of MDM platforms with upstream/downstream enterprise systems, including CRM, ERP, and data warehouses.
• Develop data ingestion and syndication strategies using ETL tools (On-Prem and Cloud) and real-time integration (APIs, SIF, Kafka).
• Design and implement data quality, cleansing, and standardization routines.
• Architect and configure hierarchical data models and network relationships, including Parent-Child relationships and hierarchy management.
• Perform capacity planning, performance tuning of match/merge processes, and system monitoring.
• Design and enforce data security, user access controls, and compliance standards.

Maintain metadata management, data dictionary, and data lineage